2007 DetecSemRelsBetNEsInTextUsingContextualFeats

(Hirano et al., 2007) ⇒ T. Hirano, Yutaka Matsuo, G. Kikui. (2007). “Detecting Semantic Relations between Named Entities in Text Using Contextual Features.” In: Proceedings of ACL 2007 (ACL 2007).

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Cited By

~7 http://scholar.google.com/scholar?q=%22Detecting+Semantic+Relations+between+Named+Entities+in+Text+Using+Contextual+Features.%22+2007

Quotes

Abstract

This paper proposes a supervised learning method for detecting a semantic relation between a given pair of named entities, which may be located in different sentences. The method employs newly introduced contextual features based on centering theory as well as conventional syntactic and word-based features. These features are organized as a tree structure and are fed into a boosting-based classification algorithm. Experimental results show the proposed method outperformed prior methods, and increased precision and recall by 4.4% and 6.7%.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2007 DetecSemRelsBetNEsInTextUsingContextualFeats	Yutaka Matsuo T. Hirano G. Kikui			Detecting Semantic Relations between Named Entities in Text Using Contextual Features		Proceedings of ACL 2007	http://www.aclweb.org/anthology/P/P07/P07-2040.pdf			2007